peft-starcoder2-3b-1000steps – AI Model by AbdulmalikAdeyemo | AlphaNeural AI

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AbdulmalikAdeyemo/
peft-starcoder2-3b-1000steps

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bigcode/starcoder2-3b

bigcode-openrail-m

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peft-starcoder2-3b-1000steps

This model is a fine-tuned version of bigcode/starcoder2-3b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.6624

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.0004
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
training_steps: 1000

Training results

Training Loss	Epoch	Step	Validation Loss
1.8125	0.1	100	0.6781
0.6981	0.2	200	0.6661
1.3622	0.3	300	0.6622
1.9643	0.4	400	0.6695
0.804	0.5	500	0.6673
1.3783	0.6	600	0.6639
1.3237	0.7	700	0.6666
1.6607	0.8	800	0.6631
1.4816	0.9	900	0.6621
0.9183	1.0	1000	0.6624

Framework versions

PEFT 0.14.0
Transformers 4.47.1
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0